Title
Advance Reservation-Based Computational Resource Brokering Using Earliest Start Time Estimation
Abstract
As a potential method for improving the resource utility, advance reservations is crucial for brokering computational resource in a predictable and efficient way. However, Conducting Advance Reservation efficiently in grid environment is not easy due to the insufficient support of the current grid architecture and the dynamic feature of grid resources. Based on a grid middleware Migol, this paper presents and evaluates a job broker architecture that addresses this deficit and provides support for advance reservation on grid-level. Using Earliest Start Time Estimation algorithm (ESE) to predict queuing delays at grid resources, this architecture is able to conduct advance reservation at lower cost and higher accuracy. Experiments show that this brokering architecture is scalable and the ESE algorithm is efficient in use.
Year
DOI
Venue
2012
10.4304/jcp.7.6.1329-1336
JOURNAL OF COMPUTERS
Keywords
Field
DocType
Grid Resource Brokering, Earliest Start Time Estimation, Advance Reservation, Local Jobs Preferred principle
Reservation,Computer science,Real-time computing,Queueing theory,Artificial intelligence,Distributed computing,Architecture,Grid middleware,Computational resource,Machine learning,Grid,Grid resources,Scalability
Journal
Volume
Issue
ISSN
7
6
1796-203X
Citations 
PageRank 
References 
3
0.41
9
Authors
4
Name
Order
Citations
PageRank
Feng Liang130.41
Shilong Ma215730.32
André Luckow38410.58
Bettina Schnor414226.36